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  11. A Potential Coagulation-related Diagnostic Model Associated With Immune Infiltration For Acute Myocardial Infarction

A potential coagulation-related diagnostic model associated with immune infiltration for acute myocardial infarction

Guoqing Liu1, Wang Liao1, Xiangwen Lv2

  • 1Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Genes and Immunity
|October 8, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Coagulation-related genes (CRGs) significantly impact acute myocardial infarction (AMI) development and prognosis. Identifying key CRGs offers new diagnostic and personalized treatment strategies for AMI patients.

Area of Science:

  • Cardiovascular Medicine
  • Molecular Biology
  • Genetics

Background:

  • Pro-coagulation factors influence acute myocardial infarction (AMI) progression and outcomes.
  • Coagulation-related genes (CRGs) represent potential diagnostic and therapeutic targets for AMI.

Purpose of the Study:

  • To investigate the clinical value of CRGs in diagnosing and treating AMI.
  • To identify novel diagnostic biomarkers and therapeutic targets for AMI.

Main Methods:

  • Differential gene expression analysis of 335 genes between AMI and healthy individuals using the GSE66360 dataset.
  • Intersection of differentially expressed genes (DEGs) with 139 CRGs to identify 10 differentially expressed CRGs.
  • Random forest algorithm to construct a predictive model using 6 signature CRGs (THBS1, SERPINA1, THBD, MMP9, MAFF, PLAU).

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  • Validation of the predictive model using the GSE48060 dataset.
  • Consensus clustering to identify CRG-based patient subgroups and analyze immune cell infiltration.

    • Main Results:

    • A predictive model based on 6 signature CRGs demonstrated high diagnostic accuracy (AUC=0.9694 in training, 0.9076 in validation).
    • AMI patients were classified into two distinct subgroups based on CRG expression patterns.
    • Expression levels of CRGs correlated with immune cell infiltration, suggesting a role in the tumor microenvironment.

    Conclusions:

    • CRGs play a significant role in the pathogenesis and progression of AMI.
    • The identified 6 signature CRGs can serve as potential biomarkers for AMI diagnosis and risk stratification.
    • Characterizing coagulation profiles can facilitate personalized treatment strategies for AMI patients.